Estimating the number of independent components for functional magnetic resonance imaging data

Human Brain Mapping

Volumn 28, Issue 11, 2007, Pages 1251-1266

  Li, Yi Ou ^a   Adali, Tülay ^a   Calhoun, Vince D ^b,c  

^a University of Marylandw Baltimore County   (United States)

^b INSTITUTE OF LIVING   (United States)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Entropy rate; fMRI; ICA; Order selection; Sample dependence; Subsampling

Indexed keywords

ACCURACY; ARTICLE; BRAIN FUNCTION; CALCULATION; COMPUTER PROGRAM; ENTROPY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL ANALYSIS; MULTIVARIATE ANALYSIS; NEUROIMAGING; NOISE; PARAMETER; PRIORITY JOURNAL; SIMULATION; SPATIAL DISCRIMINATION; TIME PERCEPTION; VISUOMOTOR COORDINATION;

ADULT; ALGORITHMS; BRAIN; BRAIN MAPPING; ENTROPY; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; PSYCHOMOTOR PERFORMANCE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 35948939625     PISSN: 10659471     EISSN: None     Source Type: Journal    
DOI: 10.1002/hbm.20359     Document Type: Article

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